The graph represents a network of 4,071 Twitter users whose tweets in the requested range contained "dataviz OR datavis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 October 2022 at 23:56 UTC.
The requested start date was Friday, 14 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 6-hour, 45-minute period from Sunday, 09 October 2022 at 17:05 UTC to Thursday, 13 October 2022 at 23:50 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 4071
Unique Edges : 2510
Edges With Duplicates : 15275
Total Edges : 17785
Number of Edge Types : 5
MentionsInRetweet : 9363
Replies to : 149
Mentions : 937
Retweet : 6635
Tweet : 701
Self-Loops : 834
Reciprocated Vertex Pair Ratio : 0.0242171834027456
Reciprocated Edge Ratio : 0.047289156626506
Connected Components : 334
Single-Vertex Connected Components : 136
Maximum Vertices in a Connected Component : 3093
Maximum Edges in a Connected Component : 16122
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.516366
Graph Density : 0.000400749111139679
Modularity : 0.343285
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 4,071 Twitter users whose tweets in the requested range contained "dataviz OR datavis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 October 2022 at 23:56 UTC.
The requested start date was Friday, 14 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 6-hour, 45-minute period from Sunday, 09 October 2022 at 17:05 UTC to Thursday, 13 October 2022 at 23:50 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : dataviz OR datavis
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2274] #iot,#iiot [2056] #python,#iot [1896] #iiot,#pytorch [1801] #javascript,#reactjs [1249] #reactjs,#wordpress [1071] #wordpress,#security [933] #security,#defi [716] #pytorch,#ad [668] #ad,#javascript [640] #pytorch,#javascript Top Word Pairs in Tweet in G1:
[369] rosanaferrero,cómo [349] rosanaferrero,libro [280] #datascience,#analytics [276] #stats,#datascience [274] #analytics,#dataanalysis [271] cómo,visualizar [271] visualizar,porcentajes [271] porcentajes,#stats [270] #dataanalysis,#machinelearn [240] #data,#dataviz Top Word Pairs in Tweet in G2:
[413] less,uk's [413] spot,dataviz [413] uk's,land [413] area,see [413] see,spot [413] solar,farms [413] whizz,tomoprater [413] tomoprater,added [413] cover,less [413] land,area Top Word Pairs in Tweet in G3:
[2259] #iot,#iiot [2042] #python,#iot [1885] #iiot,#pytorch [1793] #javascript,#reactjs [1243] #reactjs,#wordpress [1067] #wordpress,#security [929] #security,#defi [709] #pytorch,#ad [665] #ad,#javascript [637] #pytorch,#javascript Top Word Pairs in Tweet in G4:
[45] #rstats,#datascience [39] #datascience,#dataviz [37] week,41 [33] #dataviz,#maps [31] html,data [31] time,series [31] quality,report [31] report,time [31] series,data [31] data,shows Top Word Pairs in Tweet in G5:
[142] #machinelearning,#python [122] ingliguori,#machinelearning [109] types,#datascientists [109] #infographic,types [109] #datascientists,tasks [109] tasks,glance [76] glance,ingliguori [75] ingliguori,#infographic [69] #python,#programming [69] #programming,#analytics Top Word Pairs in Tweet in G6:
[16] late,#portfolioday [16] doing,tableaupublic [16] really,enjoyed [16] here's,work [16] work,really [16] hope,late [16] #portfolioday,here's [16] enjoyed,doing [15] imperativusz,hope [12] nominations,close Top Word Pairs in Tweet in G7:
[17] see,more [16] #dataviz,see [16] graphic,detail [16] detail,#dataviz [9] #datavis,#learning [8] data,visualization [5] complete,free [5] free,pytorch [5] pytorch,course [5] learning,#datavis Top Word Pairs in Tweet in G8:
[26] kremlin,orchestrated [26] nazi,surged [26] faltered,again [26] plans,faltered [26] content,discussing [26] orchestrated,plans [26] ukraine,nazi [26] discussing,ukraine [26] surged,2014 [26] found,content Top Word Pairs in Tweet in G9:
[55] #gamecharts,#dataviz [18] 2022,nba [18] wednesday,october [18] nbastats,#gamecharts [18] #dataviz,#nft [18] nba,nbastats [18] 12,2022 [18] october,12 [16] october,2022 [16] sunday,october Top Word Pairs in Tweet in G10:
[48] #la,county [48] gathered,epa [48] epa,#la [48] quality,data [48] data,gathered [48] california,wildfires [48] see,effects [48] air,quality [48] analyzed,air [48] effects,california Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: